Assuming that the prior probability distribution \(p(\mathbf {x})\)  is uniform, and given that \(p(\mathbf {z})\)  is a constant, the most probable or MAP solution of (REF ) reduces to the maximum likelihood solution, as given below [1]}:
\({\begin{array}{c}\hat{\mathbf {x}}=\mathrm {arg}\max _{\mathbf {x}}p(\mathbf {x}|\mathbf {z})=\mathrm {arg}\max _{\mathbf {x}}p(\mathbf {z}|\mathbf {x})=\mathrm {arg}\max _{\mathbf {x}}\mathcal {L}(\mathbf {z}|\mathbf {x}).\end{array}}\) 
